Correction of intensity nonuniformity in spin-echo T 1 -weighted images

Collewet, Guylaine; Davenel, A.; Toussaint, C.; Akoka, Serge

doi:10.1016/s0730-725x(02)00502-7

Cited by 49 publications

(36 citation statements)

References 19 publications

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“…Besides, there also exist many studies aim at mathematically modeling the bias field (Tincher et al, 1993;Condon et al, 1987), and then fit the model to the phantom image. The author in (Collewet et al, 2002) provided a physics based mathematical model that effective in improving the results of a standard phantom calibration, but the drawback is too sensitive to the input parameters and references.…”

Section: Prospective Methodsmentioning

confidence: 99%

“…Studies in the literatures (Velthuizen et al, 1998;Sled et al, 1998;Mangin, 2000) have theoretically proved that the model of a smooth multiplicative bias field and additive noise is reasonable. From a hardware perspective, the author in (Collewet et al, 2002) proposed a physics based model, which is different from the simple multiplicative model of bias field. This model is useful in in spin-echo T(1) images, but need some special parameters and references, and the results is still unreliable.…”

Section: Models Of Bias Fieldmentioning

confidence: 99%

See 1 more Smart Citation

A review of Methods for Bias Correction in Medical Images

Song

Zheng

2017

BMER

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Bias field in medical images is an undesirable artifact primarily arises from the improper image acquisition process or the specific properties of the imaged object. This artifact can be characterized by a smooth variation of intensities across the image and significantly degrade many medical image analysis techniques. Studies on bias correction have been investigated extensively over these years. In this paper, we proposed to category and analysis existing bias correction methods, provide a complete review article that enables comparative studies on bias correction in medical images.

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Section: Prospective Methodsmentioning

confidence: 99%

Section: Models Of Bias Fieldmentioning

confidence: 99%

A review of Methods for Bias Correction in Medical Images

Song

Zheng

2017

BMER

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“…Using strong longitudinal relaxation time (T 1 ) weighing, images differentiating adipose and muscle tissues could be obtained [53]. However, better suppression of the signals originating from either water or fat molecules is required for quantification purposes.…”

Section: Projections On Mri Applicationsmentioning

confidence: 99%

An Emerging Powerful Technique: NMR Applications on Quality Assessments of Fish and Related Products

Bekiroğglu

2010

Handbook of Seafood Quality, Safety and Health Applications

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“…[1][2]. Some correction methods rely on measuring the coil sensitivity functions [3]. These approaches can correct for coil sensitivities but cannot correct for other sources of intensity in homogeneities.…”

Section: Introductionmentioning

confidence: 99%